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For instance, two possibility measures (or consonant belief functions) should be combined using the normal- ized product rule of possibility theory if they are generated by fuzzy

In order to provide a quantitative perspective about the quality of foreground detection with our approach, we have used a test sequence and the corresponding

The following noise filtration methods were analyzed: arithme- tic averaging filter, geometric averaging filter, median filtering, adaptive medi- an filtration, Gaussian filtration

Our main idea to design kernels on fuzzy sets rely on plugging a distance between fuzzy sets into the kernel definition. Kernels obtained in this way are called, distance

This approach, which utilizes the new concept of thick gradual intervals (TGIs), enables the extension of the mathematical arsenal of interval arithmetic and

Abstract —Embedding non-vectorial data into a normed vec- torial space is very common in machine learning, aiming to perform tasks such classification, regression, clustering and so

Type 2 Fuzzy Mixture of Gaussians Model (T2 FMGM) is an elegant technique to model the background and allows to handle critical situations like camera jitter, illumi- nation

Next, in section 3 we propose a general framework of comparison measures of fuzzy sets (i.e. inclu- sion, similarity and distance) based on logical considerations, i.e.. using